🌍 AI for Economic Forecasting and Macroeconomic Modelling

Understand how AI can support economic forecasting, assess uncertainty and strengthen macroeconomic research.

AI for Economic Forecasting and Macroeconomic Modelling explores inflation, employment, economic growth, business cycles and international economic connections. Across seven lessons, you will examine how machine learning, deep learning and generative AI contribute to analysis, and how to evaluate their usefulness against simpler methods.

You will learn why publication dates, data revisions and consistent definitions matter, how nowcasts differ from forecasts, and how to assess model performance without introducing future information into historical tests. Practical examples explain how to interpret economic indicators, compare countries and investigate the channels through which global developments affect domestic conditions.

The course also covers scenario analysis, stress testing and policy evaluation. You will explore how to define assumptions, examine resilience and distinguish predictive relationships from evidence of causal policy effects.

Responsible use runs throughout, including transparent documentation, privacy, independent review, human accountability and honest communication of uncertainty.

Designed for analysts, business professionals, public sector teams, students and anyone seeking a clearer understanding of AI in economics, the course requires no programming knowledge.

By the end, you will have a structured approach to assessing AI assisted forecasts, questioning assumptions and communicating economic findings with appropriate evidence and context.